Here’s your roadmap for the year!
Every class session has four important sections. You should read about the details for each using the main menu at the top of this webpage.
Prepare ( ): This page overviews the weeks
Lecture slides ( ): This page is for lectures
Lab activities ( ): This page is about labs
Reading ( ): This page is about Extras
Mini-Diss ( ): This page contains an interactive lesson that teaches you the principles and code you need to know. Go through these after doing the content.
tl;dr : You should follow this general process each week:
Check out the overview ( ) page and do any thinking/reading/prep suggested if you have the chance
Come to the lecture ( ) page
Attend the lab ( ) and get cracking
Use the plentiful Mini-Diss resources ( ) to help you smash the MD
Weekly schedule
week
date
topic
prepare
lecture
lab
reading
minidiss
notes
1
Monday, 02 October
WOOHOO!
2
Monday, 09 October
Hello R!
Got some spicy notes for you here my darlings
3
Monday, 16 October
Visualizing various types of data
4
Monday, 23 October
stuff
And how about here? THis is some badass
5
Monday, 30 October
more stuff
Reading Week
6
Monday, 13 November
Data visualization
7
Monday, 20 November
Working with multiple data frames
8
Monday, 27 November
Data wrangling
9
Monday, 04 December
Data types and classes
10
Monday, 11 December
Data tidying
Winter Break
11
Monday, 08 January
great
12
Monday, 15 January
Data science ethics - Misrepresentation
13
Monday, 22 January
No lab - Fall break
14
Monday, 29 January
Web scraping
15
Monday, 05 February
Functions + iteration
Reading Week
16
Monday, 19 February
Probability + Simpson's Parado
17
Monday, 26 February
Models with multiple predictors
18
Monday, 04 March
Predicting a numerical outcome
19
Monday, 11 March
goodness
20
Monday, 18 March
crikey